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The Quick and Easy Guide to Data Science

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WHY DATA SCIENCE?

Keeping up with day to day trends is easy because of the internet, but you may have wondered at times what happens to the data we generate on a daily basis, how it all works, how tiny ads in your browser know just what you have been looking for on e-commerce websites. At the heart of all these are algorithms whose sole purpose is to extract all the useful information from the data that is being generated by us on a daily basis. What is the significance of this data? This data helps companies understand their customer base. In short data science is a vital part of today’s IT field and it presents an unlimited number of opportunities for career growth.

WHAT IS DATA SCIENCE?

Data which is generated is often available in two forms, structured and unstructured, and this data is unintelligible to most people. Data science uses scientific methods and statistical algorithms to extract valuable insights from the data. Data science is interdisciplinary because data science requires an individual to combine knowledge from various fields such as statistics, mathematics, advanced computing, etc.

 

WHAT DO THESE DATA SCIENTISTS DO?

The real task of a data scientist is to design high performing prediction engines. Prediction engines in turn help the company either expand business or increase revenue. Typically, they are dealing with massive datasets of customer information. So not only do data scientists perform data analysis, they must know how to access the data in these huge datasets. They also present their findings to management, so communication skills are also necessary.

NO CERTIFICATE, NO ENTRY

In today’s competitive environment not everyone has the time to interview endless queues of people looking for that one suitable candidate. Often a good certificate comes in handy, telling them that

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